ICLR "distribution shifts" Papers
6 papers found
CONDA: Adaptive Concept Bottleneck for Foundation Models Under Distribution Shifts
Jihye Choi, Jayaram Raghuram, Yixuan Li et al.
ICLR 2025poster
Matcha: Mitigating Graph Structure Shifts with Test-Time Adaptation
Wenxuan Bao, Zhichen Zeng, Zhining Liu et al.
ICLR 2025posterarXiv:2410.06976
4
citations
RA-TTA: Retrieval-Augmented Test-Time Adaptation for Vision-Language Models
Youngjun Lee, Doyoung Kim, Junhyeok Kang et al.
ICLR 2025poster
5
citations
Rethinking Fair Representation Learning for Performance-Sensitive Tasks
Charles Jones, Fabio De Sousa Ribeiro, Mélanie Roschewitz et al.
ICLR 2025posterarXiv:2410.04120
5
citations
Rethinking Graph Prompts: Unraveling the Power of Data Manipulation in Graph Neural Networks
Chenyi Zi, Bowen LIU, Xiangguo SUN et al.
ICLR 2025poster
Universal generalization guarantees for Wasserstein distributionally robust models
Tam Le, Jerome Malick
ICLR 2025posterarXiv:2402.11981
7
citations